About Optics & Photonics TopicsOSA Publishing developed the Optics and Photonics Topics to help organize its diverse content more accurately by topic area. This topic browser contains over 2400 terms and is organized in a three-level hierarchy. Read more.

Topics can be refined further in the search results. The Topic facet will reveal the high-level topics associated with the articles returned in the search results.

Abstract

In this paper, we proposed a new approach to notably enhance the compression rate of integral images by using the motion-compensated residual images (MCRIs). In the proposed method, sub-images (SIs) transformed from the picked-up elemental images of a three-dimensional (3-D) object, are sequentially rearranged with a spiral scanning topology. The moving vectors among the SIs, then, are estimated and compensated with the block-matching algorithm. Furthermore, spatial redundancy among the SIs is also removed by computing the differences between the local SIs and their motion-compensated versions, from which a sequence of MCRIs are finally generated and compressed with the MPEG-4 algorithm. Experimental results show that the compression efficiency of the proposed method has been improved up to 861.1% on average from that of the JPEG-based elemental images (EIs) method, and up to 1,497.0% and 118.8% on average from those of the MPEG-based MCSIs and the MPEG-based RIs method, respectively.

A process of motion estimation and compensation and computation of MCRI: (a) Block α in the reference sub-image, (b) Matching block β in the ith sub-image, (c) Shifting the reference sub-image from α to β for motion-compensation, (d) Motion-compensated version of ith sub-image of (b), (e) MCRI computed between the ith sub-image of (b) and its motion-compensated version of (d), (f) Reconstructed object image.